library(lubridate)
library(ggplot2)
library(StreamMetabolism)
library(xts)
library(reshape)
library(scales)
Altbulach_ <- sunrise.set(48.66874533279169,8.714089393615723, "2024/01/01", timezone="MET", num.days=370)
sunrise <- Altbulach_$sunrise
sunset <- Altbulach_$sunset
sunrise <- strftime(sunrise, format="%R", tz="MET")
sunset <- strftime(sunset, format="%R", tz="MET")
Altbulach_["sr"] <- as.POSIXct(sunrise, format = "%H:%M")
Altbulach_["ss"] <- as.POSIXct(sunset, format = "%H:%M")
Altbulach_["timestamp"] <- align.time(Altbulach_$sunrise, 60*10)
Altbulach_ <- Altbulach_[c("timestamp", "sr", "ss")]
locsrss <- ggplot(Altbulach_, aes(x=Altbulach_$timestamp)) + geom_line(aes(y=Altbulach_$sr)) + geom_line(aes(y=Altbulach_$ss)) + labs(title = " Sonnenauf-/Sonnenuntergang - Altbulach_ 2024", x = "Datum", y = "Zeit")
pdf("Altbulach__SA_SU.pdf", paper="a4r", width=11)
locsrss
dev.off()
png(filename="Altbulach__SA_SU.png", width = 1400, height = 800, units = "px")
locsrss
dev.off()
Altbulach_["Sonnenaufgang"] <- strftime(Altbulach_$sr, format="%H:%M")
Altbulach_["Sonnenuntergang"] <- strftime(Altbulach_$ss, format="%H:%M")
write.table(Altbulach_, file="Altbulach__SaSu.csv", dec=',', sep=';', row.names=FALSE)